TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Gaiduk, Maksym
A1  - Seepold, Ralf
A1  - Rodríguez de Trujillo, Eva
T1  - Sleep position recognition in home environment
T2  - Fachtagung "Smart Day 2018", Veranstalter: Smart Home & Living Baden-Württemberg e.V., 7. Nov. 2018, Villingen-Schwenningen
N2  - This paper presents a bed system able to analyze a person’s movement, breathing and recognize the positions that the subject is lying on the bed during the night without any additional physical contact. The measurements are performed with sensors placed between the mattress and the bed-frame. An Intel Edison board was used as an endpoint that served as a communication node from the mesh network to external service. Two nodes and Intel Edison are attached to the bottom of the bed frame and they are connected to the sensors. First test results have indicated the potential of the proposed approach for the recognition of sleep positions with 83% of correct recognized positions.
KW  - Sleep study
KW  - Bio-vital data
KW  - Non-invasive sleep study
KW  - Sleep positions
Y1  - 2018
U6  - https://nbn-resolving.org/https://www.shl-bw.de/fileadmin/documents/SmartDay/Tagungsband_Smart_Day_2018.pdf
UN  - https://nbn-resolving.org/https://www.shl-bw.de/fileadmin/documents/SmartDay/Tagungsband_Smart_Day_2018.pdf
SP  - 21
EP  - 24
ER  -